You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. High Quality/Low Dimension Data for Sensor Integration

    SBC: Andro Computational Solutions LLC            Topic: AF15AT16

    Novel algorithms were developed for ecient multi-sensor fusion of correlated high-dimensional data to support target detection. In our compressive sensing framework, high-dimensional data is compressed using low dimensional random projection matrices. When the high-dimensional data exhibits low-dimensional structures, this scheme is capable of capturing all the significant informative with fewer r ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. Reverberation Mitigation of Speech

    SBC: MINERVA SYSTEMS & TECHNOLOGIES LLC            Topic: AF15AT17

    Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...

    STTR Phase II 2016 Department of DefenseAir Force
  3. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
  4. Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S): Cyber Superiority for Air Force Combatant Commanders Using Cyber-domain

    SBC: Andro Computational Solutions LLC            Topic: AF08BT06

    ABSTRACT: In this effort selected SBIR technologies will be matured and merged to establish the Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S) for enhancing the throughput, spectral efficiency, speed, reliability and security performance of software defined radio (SDR) communication networks. One of the core technologies in the AC4S architecture is the Cyber Superior ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S): Dynamic Cross-layer Routing Using Cognitive Spectrum Allocation (AXL-RO

    SBC: Andro Computational Solutions LLC            Topic: AF10BT09

    ABSTRACT: In this effort selected SBIR technologies will be matured and merged to establish the Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S) for enhancing the throughput, spectral efficiency, speed, reliability and security performance of software defined radio (SDR) communication networks. One of the core technologies that forms the basis of AC4S is the AXL-ROSA s ...

    STTR Phase II 2016 Department of DefenseAir Force
  6. Active Control of a Scramjet Engine

    SBC: Innoveering, LLC            Topic: AF15AT19

    In this effort, Innoveering will integrate and test a closed-loop active control system for scramjet isolator shock system positioning. The approach is to control the fuel flow to the engine to position the shock train leading edge at a specified location in the isolator. The control system includes three basic elements: a shock position sensing system based, a fast response fuel valve that adjust ...

    STTR Phase II 2016 Department of DefenseAir Force
US Flag An Official Website of the United States Government